Triple

T8223360
Position Surface form Disambiguated ID Type / Status
Subject Laurence Naismith E192118 entity
Predicate familyName P18 FINISHED
Object Naismith
Naismith is a Scottish-origin surname best known for its association with James Naismith, the inventor of basketball.
E55564 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Naismith | Statement: [Laurence Naismith, familyName, Naismith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naismith
Context triple: [Laurence Naismith, familyName, Naismith]
  • A. James Naismith
    James Naismith was a Canadian physical educator and coach best known as the inventor of the game of basketball in 1891.
  • B. John Dwan
    John Dwan was an American businessman best known as one of the original founders of the multinational conglomerate 3M.
  • C. George Mikan
    George Mikan was a pioneering American professional basketball center widely regarded as the sport’s first dominant big man and an early superstar who helped shape the modern game.
  • D. Earl Lloyd
    Earl Lloyd was an American professional basketball player best known as the first African American to play in an NBA game.
  • E. Spencer Haywood
    Spencer Haywood is a Hall of Fame American basketball player known for his dominant early career in the ABA and NBA and for his landmark Supreme Court case that opened the league to underclassmen.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Naismith
Triple: [Laurence Naismith, familyName, Naismith]
Generated description
Naismith is a Scottish-origin surname best known for its association with James Naismith, the inventor of basketball.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Naismith
Target entity description: Naismith is a Scottish-origin surname best known for its association with James Naismith, the inventor of basketball.
  • A. James Naismith chosen
    James Naismith was a Canadian physical educator and coach best known as the inventor of the game of basketball in 1891.
  • B. John Dwan
    John Dwan was an American businessman best known as one of the original founders of the multinational conglomerate 3M.
  • C. George Mikan
    George Mikan was a pioneering American professional basketball center widely regarded as the sport’s first dominant big man and an early superstar who helped shape the modern game.
  • D. Earl Lloyd
    Earl Lloyd was an American professional basketball player best known as the first African American to play in an NBA game.
  • E. Spencer Haywood
    Spencer Haywood is a Hall of Fame American basketball player known for his dominant early career in the ABA and NBA and for his landmark Supreme Court case that opened the league to underclassmen.
  • F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb77cae2948190ae4507b75b5d5784 completed March 31, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccee09ac548190a9988ff77d43e77e completed April 1, 2026, 10:06 a.m.
NEDg Description generation batch_69ccf1bc720081908c4eabf58336318a completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05eaba1c81908510a20b1ca93821 completed April 1, 2026, 11:47 a.m.
Created at: March 30, 2026, 5:45 p.m.